• DocumentCode
    3307178
  • Title

    A Model of Learning Climate Formation Based on Small-World Network

  • Author

    Li, Zhou ; Zhang, Yuan-Biao

  • Author_Institution
    Math. Modeling Innovative Practice Base, Jinan Univ., Zhuhai, China
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    175
  • Lastpage
    178
  • Abstract
    Forming excellent learning climate is vital both for a school and for students. Traditional researches tend to analyze the problem in theory so that we can hardly find papers with precise mathematical models. In this paper, we construct a small-world network to represent the personal relation network among school students, and use all the students’ learning attitudes to represent the school’s learning climate. Based on it we build an learning climate formation model with considering students’ consistent degree, the friendly degree among students and the influences of teachers and parents. During the simulation, we analyze the effect of different impact factor on learning climate formation. It proves teachers and parents have a significant impact on the formation of learning climate. They should take appropriate measures to help students form favorable learning habits.
  • Keywords
    Acceleration; Analytical models; Complex networks; Computer science; Educational institutions; Machine learning; Machine vision; Man machine systems; Mathematical model; Packaging; influences of teachers and parents; learning attitude; learning climate formation model; small-world network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
  • Conference_Location
    Kaifeng, China
  • Print_ISBN
    978-1-4244-6595-8
  • Electronic_ISBN
    978-1-4244-6596-5
  • Type

    conf

  • DOI
    10.1109/MVHI.2010.126
  • Filename
    5532698